Artificial Intelligence: An Untapped Resource in the Energy Industry

The adoption of artificial intelligence in the energy industry has been somewhat slow and it is currently being used mainly in limited roles. However, there is an increasing understanding of the advantages that AI, robotics, machine learning, and related technologies can contribute to this sector.

The Internet of Things (IoT)

The Internet of Things (IoT) has enabled the collection and transmission of complex data in huge amounts. This data, gathered via connected devices, such as sensors, can be analyzed and interpreted to gain useful insights.

They have sensors to allow them to understand the environment and algorithms for planning, acting, and interacting with humans and the environment. These sophisticated robots are currently being tested by Total in the North Sea.

Some of its brushless DC motors and alternators are used by fuel companies for oil drilling. Its technological capability has made it a market leader in electromechanical motion control evolution.Power grid operators are finding new ways to constantly monitor, analyze, and interpret data to make sure that the supply of electricity meets the demand. They also need the ability to ensure smooth management of the combination of fossil fuels, nuclear power, and renewable sources.

Wind farm operators are now collecting wind speed data and can determine real-time weather conditions. They can identify the output of the turbines and the power exported to the grid.

More Widespread Adoption Is Coming

Declines in costs of data processing and processing power are having an impact on adoption. Some companies have been reluctant to become early adopters because of the risks. Time is necessary to develop the algorithms needed to construct and program robots to do special tasks.

The size of the power and renewable energy sector and the oil and gas industry is a huge market for software creators, engineers, and AI developers. Technological advancements are likely to snowball in the coming decade.

Wide adoption of machine learning and AI-enabled robots are likely to completely change the cost structures and operations of energy companies. Risks will be reduced, health and safety improved, and the skill sets required will change.

On the plus side, it will free employees to focus on the more human aspects of tasks, requiring more emotional intelligence, leadership skills, and verification of the solutions and insights generated by the sensors and automated equipment. New tech jobs will be created and roles will require a more modern skillset.

The energy industry may have been slow adopters of AI but the realization of its benefits is creating acceleration in implementation and the next decade could see significant changes taking place.